Principal AI Developer Technology Engineer

NVIDIA Corporation; München; On-site; EUR 140,000 - 200,000; Full time

Job summary

NVIDIA Corporation in Munich seeks an experienced researcher to develop techniques that accelerate AI workloads on CPU and GPU architectures. You will collaborate with experts across industry and academia to analyze, optimize, and publish results that advance both software and hardware solutions.

The role requires leading-edge knowledge in parallel computing, CUDA, and performance optimization, with a strong emphasis on communication and impact across teams.

Qualifications

• 15+ years of relevant software development or research experience.
• Fluency in C/C++ with deep algorithms knowledge.
• Experience with GPU architectures and performance tuning.
• Good communication and organizational skills.

Responsibilities

• Research and develop techniques to GPU accelerate AI workloads.
• Collaborate with researchers, hardware, and software teams to optimize algorithms.
• Publish findings in developer blogs or conferences to educate the community.
• Influence the design of next‑gen hardware architectures, software, and programming models.

Skills

C/C++

CUDA

Parallel programming

Low-level optimization

Education

Advanced degree in Computer Science or Computer Engineering

Tools

MPI

OpenMP

OpenACC

Job description

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures. Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). You have 15+ years of relevant experience in software development or research work. Programming fluency in C/C++ with a deep understanding of algorithms and software development. A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU architecture fundamentals. Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd:

Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. Excellent understanding of linear algebra.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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